Popular GitHub Repositories for Lit Element

?Vite+Vue3+Gin拥有AI辅助的基础开发平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。

AI 助手全套开源解决方案，自带运营管理后台，开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火，文心一言等多个平台的大语言模型。支持 MJ AI 绘画，Stable Diffusion AI 绘画，微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。

? cool-admin(midway版)一个很酷的后台权限管理框架，Ai编码、流程编排、模块化、插件化、CRUD极速开发，永久开源免费，基于nodejs、typescript、typeorm、mysql、jwt、vue3、vite、element-ui等构建

Danbooru / NovelAI 标签超市

Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.

PureChat 是一款基于 Vue3 + ElementPlus，结合 AI 和前沿技术的聊天应用，内置OpenAI，Ollama，DeepSeek等大语言模型，支持 Markdown 渲染，聊天记录生成截图，主题切换，助力开发者快速掌握现代技术。

Differentiable Finite Element Method with JAX

HugAi是由Springboot Vue2 elementUI集成各大AI大模型平台开发的智能问答助手，文本对话模型支持流式响应，现已接入OpenAi、chatGpt、讯飞星火、文心一言、Ollama，以及主流AI绘图Midjourney、Stable Diffusion，完全开源搭建属于自己的AI聊天室

Graph-based Topology Reasoning for Driving Scenes

Additive manufacturing simulation with JAX.

本科个人目标检测毕设

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Arrays which also have a label for each element for easy scientific machine learning (SciML)

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

Code and Data Repo for [ACL 2023] Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"

Efficient GPU-computing simulation for differentiable crystal plasticity finite element method

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.

A clinical BERT-based NLP tool for parsing clinical trial abstracts following the PICO framework